Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

Table 1

A comparison of the approaches used for diagnosing and monitoring the degree of illness in children with autism spectrum disorder (ASD).

Ref.	Key points	Method	Characteristics of evaluation
			Time	Specificity	Accuracy	Sensitivity
[18]	Using brain signals to focus attention on one’s health using SS network	Data mining	✓	✗	✓	✗
[19]	Long-term use of wearable technologies to evaluate psychological health	Reporting	✓	✗	✓	✗
[20]	Using IoT to monitor healthcare	Feature selection	✗	✗	✓	✗
[21]	Avoid obtaining injured by autistic people who aren’t at responsibility	GA	✗	✗	✓	✗
[22]	Emotional and visual indicators in a smart home	DL	✗	✗	✓	✗
[23]	Recognize the emotions of children with autism	DL	✗	✓	✓	✗
[24]	Monitoring the actions of an autistic person might be quite risky	Feature selection	✓	✗	✓	✗
[25]	Autism condition can be detected early if it is recognized using SS network	Feature select ion	✓	✓	✓	✓
[26]	Autism children’s situation can be properly appreciated with virtual reality therapy	Virtual reality	✓	✗	✗	✗
[27]	A reliable strategy for the early detection of autistic spectrum disorders in youngsters	Feature selection	✓	✓	✓	✓
[28]	A framework for detecting autism in children using SS network	Data mining	✗	✓	✓	✓
[29]	ML-based ASD detection	Feature selection	✓	✗	✗	✗